[Miscellaneous] Would a computer-vision app that tracks skin changes over time (acne, pigmentation, routine impact) actually be useful?
Hi everyone,
Like many of us here, I’ve struggled with keeping track of how my skin actually reacts to different routines over weeks and months. Memory is subjective, and taking selfies in different lighting makes it nearly impossible to tell if a product is actually working or causing low-grade irritation.
I’m working on a technical concept and wanted to get the community's unfiltered thoughts on it.
The idea is a computer vision pipeline that processes standard photos (left, right, center) to map and track specific skin metrics over time:
- Distinguishing inflammatory vs. comedonal acne
- Tracking progress in hyperpigmentation, eye bags, and fine lines
- Filtering out background noise (like moles or temporary flushness)
- Using that longitudinal skin data to dynamically adjust a personalized skincare and makeup color-matching routine.
Before going deeper into development, I want a reality check from people who actually deal with skincare daily:
- If an app could objectively track these specific metrics over time, would you realistically use it?
- What would be the biggest dealbreaker for you (e.g., lighting inconsistency, data privacy concerns, or just annoying UX)?
- From a routine and makeup perspective, do you feel current tools fail to connect skincare results with actual cosmetic/makeup matching?
I’d love to hear your brutally honest thoughts, pain points, or reasons why something like this might fail. Thanks!